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This project sought to gather and analyze data on the effects of marijuana legalization from primary and secondary data sources that are both local and national in scope, and at both the individual and aggregate level. Since 1996, 37 states have passed statutes legalizing marijuana for medical and/or recreational use, while it has remained illegal under federal law. Jurisdictional and temporal variation in law creates a complex environment and substantial challenges for police and prosecutors charged with enforcement, and little is known about the justice system processing, public safety, and public health outcomes of evolving laws and policies. Secondary criminal justice and public health data were gathered from federal, state, and local sources. Each source has a sufficiently long time series to provide statistical power and to allow for sometimes gradual implementation. The design exploits geographic and temporal variation in the implementation of marijuana law, using a difference-in-differences design that compares outcomes in states which implemented the policies with states that did not, before and after implementation.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. This study contains Uniform Crime Report geocoded data obtained from St. Petersburg Police Department, Orlando Police Department, and Miami-Dade Police Department for the years between 2010 and 2014. The three primary goals of this study were: to determine whether Florida law HB 7095 (signed into law on June 3, 2011) and related legislation reduced the number of pain clinics abusively dispensing opioid prescriptions in the State to examine the spatial overlap between pain clinic locations and crime incidents to assess the logistics of administering the law The study includes: 3 Excel files: MDPD_Data.xlsx (336,672 cases; 6 variables), OPD_Data.xlsx (160,947 cases; 11 variables), SPPD_Data.xlsx (211,544 cases; 14 variables) 15 GIS Shape files (95 files total) Data related to respondents' qualitative interviews and the Florida Department of Health are not available as part of this collection. For access to data from the Florida Department of Health, interested researchers should apply directory to the FDOH.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. The purpose of this study was to characterize Prescription Drug Monitoring Programs' (PDMP) features and practices that are optimal for supporting law enforcement investigations and prosecutions of prescription drug diversion cases. The study collection includes 1 CSV data file (OptimizingPDMPsToSup_DATA_NOHDRS_2015-01-29_1235.csv, n=1,834, 204 variables). The qualitative data is not available as part of this collection at this time.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. The misuse, abuse and diversion of controlled substances have reached epidemic proportion in the United States. Contributing to this problem are providers who over-prescribe these substances. The researchers in this study developed a series of metrics to identify providers manifesting unusual prescribing practices using one state's prescription monitoring program. The collection includes 1 Excel data file with 10,000 cases and 13 variables (2015_NC_PDMP_Synthetic_Data_Set.xlsx). Users should note the included data file is a synthetic dataset constructed with the same variance and distributions as the original data.